Non-word Attributes’ Efficiency in Text Mining Authorship Prediction

Literature scripts can be compared to paintings, in an artistic way as well as in the perspective of financial value, whereas the value of these scripts rise and fall depending on their author’s popularity. Authors’ scripts represent a specific style of writing that can be measured and compared using a text mining field called Stylometric. Stylometric analysis depends on some features called authorship attributes, and these attributes or features can be used in special algorithms and methods to reach that aim. Generally, each method selected in the Stylometric field uses a variety of attribute... Mehr ...

Verfasser: Mustafa Tareef Kamil
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Reihe/Periodikum: Journal of Intelligent Systems, Vol 29, Iss 1, Pp 1408-1415 (2019)
Verlag/Hrsg.: De Gruyter
Schlagwörter: machine learning / stylometric / authorship attribution / saba / non-word attribute / Science / Q / Electronic computers. Computer science / QA75.5-76.95
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26894448
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1515/jisys-2019-0068